Distinguishing between authentic and fictitious user-generated hotel reviews

  • Snehasish Banerjee, Alton Y. K. Chua, Jung-Jae Kim
  • July 2015, Institute of Electrical & Electronics Engineers (IEEE)
  • DOI: 10.1109/icccnt.2015.7395179

Want to read reviews before booking a hotel? Be careful about fake reviews!

Photo by Roberto Cortese on Unsplash

Photo by Roberto Cortese on Unsplash

Why is it important?

It uses classification by voting among logistic regression, C4.5, Support Vector Machine (SVM), JRip, and Random Forest classifiers to separate fake reviews from authentic ones. Performance was better than that of selected baselines.

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The following have contributed to this page: Dr Snehasish Banerjee